Analytics Engineer

Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.

Airtable is seeking a talented AI Analytics Engineer to join our dynamic marketing analytics team. In this role, you will leverage advanced analytics and machine learning techniques to derive insights from marketing data, drive strategic decisions, and optimize our marketing initiatives.

Join Airtable as an AI Analytics Engineer and be part of a pioneering team that is dedicated to enhancing our AI & Analytics Platform. In this role, you will leverage cutting-edge technologies to analyze vast datasets and drive insights that inform decision-making processes across the organization. You will work collaboratively with data scientists and engineers to develop innovative solutions that meet our clients' needs.

Peregrine Technologies is backed by prominent investors from Silicon Valley, providing innovative solutions to public safety organizations, local and state governments, federal agencies, and private institutions. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, enabling swift and precise decision-making that enhances outcomes across various sectors. Currently, we serve hundreds of clients across over 30 states and two countries, positively impacting more than 125 million individuals. As we expand our footprint into enterprise-level solutions and international markets, our influence continues to grow.The RoleAs the Manager of Business Intelligence and Analytics Engineering at Peregrine, you will be instrumental in defining the architecture, access, and application of data throughout the organization. You will lead the development and implementation of our analytics infrastructure, collaborating with teams in Product, Sales, Finance, and Operations to convert raw data into meaningful insights and actionable strategies.This role is highly collaborative and visible, requiring you to engage directly with business leaders to establish key performance indicators (KPIs), automate processes, and enhance our data architecture. If you thrive in dynamic environments, enjoy building data pipelines from business inquiries, and are eager to shape the future of data within a mission-driven organization, we encourage you to apply.What You'll DoOwn and expand our data warehouse to accommodate a rapidly growing product and Go-To-Market ecosystem.Design and sustain ETL pipelines using dbt to integrate data from various tools, applications, and external platforms.Create clean, reusable data models to support reporting needs across Sales, Marketing, Product, and Finance.Develop dashboards and analyses to identify trends in revenue, product usage, and customer behavior.Establish data quality checks and alerts to guarantee the accuracy, timeliness, and reliability of data.Assist in planning and forecasting by collaborating with teams to define KPIs and create predictive models.What We Look ForA minimum of 4 years of experience as a BI Engineer, Analytics Engineer, or Data Engineer within a fast-paced technology environment.Strong proficiency in SQL and best practices for data modeling.Expertise in dbt, modern data warehouses (such as Snowflake or BigQuery), and orchestration tools like Airflow or Prefect.

Join Gusto as a GTM Analytics Engineer and play a pivotal role in driving our analytics initiatives. As a part of our team, you will develop and maintain robust analytics frameworks that empower data-driven decision-making within our go-to-market strategies. You will collaborate closely with cross-functional teams to ensure the accuracy and accessibility of data, while also identifying opportunities for continuous improvement.

At Perplexity, we believe in harnessing the power of AI to exceed expectations. This role is pivotal in ensuring our data team embodies that philosophy, placing AI at the core of our operations.We seek an exceptional individual with a strong background as a data scientist, analytics engineer, or data engineer. You are the type of professional who understands which metrics hold true significance, can design insightful A/B tests, and delve into data models to uncover discrepancies. Importantly, you recognize that your highest impact opportunity lies in creating AI systems that revolutionize the practice of data science.This is not about developing another text-to-SQL bot or merely producing another dashboard. Instead, you'll create AI agents capable of performing comprehensive analyses autonomously – generating hypotheses, executing queries, interpreting outcomes, and crafting actionable recommendations. Your work will ensure that our entire data warehouse is AI-accessible, enabling any system to query it with precision. You'll engineer self-correcting pipelines that identify and resolve data issues proactively. Your contributions will empower a lean data team to operate with the efficiency of a much larger organization.Join a forward-thinking data team that already integrates AI into its processes, yet recognizes the vast potential that lies ahead. With full support from leadership, we are committed to transforming our initial efforts into a world-class framework: scalable systems, innovative tools, and an AI-first approach that not only elevates our status but also propels the industry forward.What You'll DoEnhance the AI-driven data workflow - Building on existing successes, you will establish repeatable systems and scalable tools that the data team and the broader organization can adopt.Create AI agents for data science - Your focus will be on developing agents that not only handle SQL inquiries but also manage end-to-end analyses: exploring data, formulating hypotheses, executing queries, interpreting results, and delivering actionable insights.Make the data warehouse AI-friendly - Design the semantic layers, context, and retrieval systems that enable any AI platform (internal or external) to query Perplexity's data effectively and reliably.Automate the data lifecycle - Implement self-healing pipelines, automated dbt model creation and validation, and data quality agents that autonomously detect and resolve issues.Deliver AI-enhanced experiment analysis - Develop agents capable of interpreting A/B test results, identifying statistical anomalies, and providing thoughtful insights.

Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.

Role Overview Okta is looking for a Senior Analytics Engineer to help shape data-driven decisions across the company. This role focuses on designing and building analytics solutions, improving data architecture, and working with teams from different functions to uncover insights from complex datasets. What You Will Do Design and implement analytics solutions that support business goals Collaborate with colleagues across departments to identify and extract meaningful insights from large data sets Enhance and maintain the company’s data architecture to ensure reliability and scalability About Okta Okta delivers identity management solutions for organizations worldwide. Your work as a Senior Analytics Engineer will help support Okta’s mission to provide secure, seamless access for users everywhere. Locations Bellevue, Washington Chicago, Illinois San Francisco, California

Amplitude stands at the forefront of AI-driven analytics, empowering over 4,700 clients—including esteemed names like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to enhance their products and digital offerings. Our innovative AI Agents integrated throughout the platform enable teams to rapidly analyze, test, and optimize user experiences. Recognized as the leading solution in various categories in G2’s Fall 2025 Report, Amplitude is the premier choice for product, data, and marketing teams. Discover more at amplitude.com.As a company, we are deeply committed to delivering exceptional results for our customers by embodying our core values. We approach our work with humility, take responsibility for both challenges and successes, embrace a growth mindset, and prioritize our customers in everything we do.Amplitude’s Commitment to Diversity, Equity & Inclusion (DEI): We believe that diversity drives the creation of superior products, enhances our ability to tackle complex challenges, and leads to more impactful solutions. Our aim is to cultivate an inclusive environment that promotes psychological safety, empathy, and genuine human connection, enabling all employees to thrive.About The Role & TeamWe are seeking a Fullstack Engineer to join our Core Analytics team, responsible for our flagship analytics product cherished by countless product teams globally. You will collaborate closely with our Product Manager and Designer to conceptualize, develop, and launch end-to-end features that enhance the Analytics experience. Your contributions will significantly shape product direction and ensure the delivery of high-performance, reliable, and enjoyable user experiences.Our engineers are driven by customer needs and tackle complex data challenges to improve user experience. We prioritize delivering value quickly and iteratively. If you are passionate about crafting exceptional data-driven experiences that empower businesses to understand their customers better, we would be thrilled to connect with you.The team’s mission is to create a fast, intuitive, and dependable Analytics platform that enables customers to confidently derive insights about their products while also spearheading infrastructure initiatives that enhance and scale the platform.As a Senior Engineer, you will:Collaborate with Product Management and Design to transform innovative ideas into engineering solutions that effectively address customer challenges.Drive business impact through...

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

About the RoleAs a Senior Manager of Go-To-Market (GTM) and AI Analytics at ivo, you will dive deep into the world of AI, exploring what 'usage' signifies in products that operate autonomously. You'll uncover how to measure the value delivered versus the sessions logged, and identify leading indicators of growth even when user interactions are minimal.In this role, you're not just analyzing data; you're redefining how we understand the impact of our AI products on customer value. Your expertise will allow us to measure analytics in ways that far surpass traditional methods, leveraging advanced AI tools for deeper insights and quicker assessments.You will play a pivotal role in diagnosing data trends: whether it’s a slowdown in the pipeline or stagnation in expansion efforts, you'll pinpoint the issues at the stage, segment, and representative levels before they become apparent to others. This proactive stance will empower you to build propensity models, highlight opportunities for growth, and provide actionable insights to our VP of Customer Success Management.This position is not your conventional analytics job. At ivo, we are pioneering AI solutions that engage customers in innovative ways, such as autonomous contract reviews and LLM-powered query systems. The traditional metrics of engagement may not fully apply here, as your role will include inventing new frameworks to measure business impact when our AI interacts independently with clients.Reporting directly to the VP of Revenue Strategy & Operations, you will oversee all aspects of GTM analytics, including pipeline health, forecasting models, win/loss analysis, rep productivity, territory performance, and churn risk. You will also analyze product usage metrics to understand the link between customer interaction with AI and their renewal and advocacy behaviors.As pricing strategies shift towards usage-based and API consumption models, you will be responsible for developing consumption analytics, connecting product telemetry to revenue, and quantifying the ROI of our strategic initiatives.

Mariana Minerals, based in San Francisco, supplies critical minerals for sectors such as energy, AI, and defense. The company integrates industrial expertise with advanced software, automation, and data-driven processes to improve how minerals are sourced, refined, and optimized. Mariana Minerals emphasizes responsible mineral sourcing and supply throughout its operations. Role overview The Analytical Systems Engineer will support laboratory analytical capabilities across multiple locations. This position focuses on developing and refining analytical methods, troubleshooting technical issues, and introducing new instruments and procedures. The role calls for a strong analytical background, hands-on mechanical skills, and adaptability in various lab environments. What you will do Enhance and optimize analytical methods at laboratory sites. Troubleshoot and resolve issues with analytical techniques to ensure reliable data and methods. Lead implementation of new instruments, including ICP-OES, ICP-MS, Atomic Absorption, and related equipment. Create, validate, and standardize analytical workflows and methods. Train laboratory staff on equipment usage, analytical techniques, and best practices. Collaborate with cross-functional teams to improve analytical efficiency and maintain data integrity. Evaluate new technologies and suggest improvements for existing systems. Maintain thorough documentation for methods, SOPs, and technical guidelines. Offer technical support for complex analytical challenges within the organization. Requirements Bachelor’s degree in Analytical Chemistry, Chemistry, or a related scientific field (recent graduates encouraged to apply). Experience with ICP-OES, ICP-MS, Atomic Absorption, or similar analytical instruments is preferred. Solid understanding of analytical techniques, sample preparation, and data interpretation. Strong problem-solving abilities and the capacity to work both independently and as part of a team.

About UsAt Passage, we are dedicated to leveraging technology to eliminate barriers that prevent talented individuals from accessing opportunities. By integrating cutting-edge AI advancements with human insights, we strive to create a more equitable landscape.Our commitment to access: We believe in making opportunities affordable. Through our affiliate, Passage Funding, we offer financial solutions for international students.Our core belief: Access to opportunities should be universal, irrespective of geography, gender, or socioeconomic status. We reinvest a portion of our profits to support marginalized communities, including our initiatives for Afghan students.Our product is access: We develop AI solutions that transform paperwork into actionable decisions, leading to tangible outcomes.Our ambitious mission: By 2030, we aim to dismantle the barriers that hinder brilliant minds from obtaining the opportunities they deserve.The OpportunityWe are seeking a Staff Analytics Engineer to spearhead the development of Passage’s analytics infrastructure and decision-making framework.This pivotal role combines engineering, analytics, and business strategy. You will architect systems that convert operational data into dependable insights utilized throughout the organization.From your first day, you will collaborate closely with leadership across engineering, growth, credit, finance, product, and operations. You will design the data architecture, establish pipelines and analytical models, and create metrics that drive Passage’s operational strategies.As a senior member of our team, you will have a significant impact across the organization, developing the analytics layer of our data platform, ensuring the integrity and reliability of decision-related data, and establishing best practices for data utilization in operations and growth.As Passage continues to expand, you will help define our long-term data strategy and play a crucial role in enhancing our analytics capabilities.We are a dynamic, high-ownership team that operates swiftly. Our structure is flat, with no limits on professional growth. We are looking for someone enthusiastic about constructing the data intelligence of the company, establishing best practices, and eventually contributing to the growth of the data team as we scale.

Okta is searching for a Manager of Field Analytics to join the Go-To-Market Strategy & Operations group. This position is based in Bellevue, Chicago, San Francisco, or Washington, DC. The Field Analytics team plays a central role in shaping Okta’s business decisions by providing strategic analysis and supporting leaders with data-driven insights. Role overview This role partners closely with Solutions Engineering and Partner organizations. The Manager of Field Analytics translates complex data sets into clear, actionable strategies, identifies key revenue drivers, and builds scalable frameworks to support Okta’s growth. The position is responsible for connecting Okta’s data infrastructure with technical go-to-market teams, ensuring reporting systems are both flexible and scalable. There is a strong focus on generating proactive insights that improve technical sales productivity and accelerate partner-driven initiatives, while also advocating for the adoption of new AI capabilities. What you will do Strategic Collaboration: Act as the primary analytics partner for Pre-Sales and Partner operations teams. Build strong working relationships to understand their workflows and business needs, and translate those into effective analytical solutions. AI Innovation: Lead efforts to integrate emerging AI capabilities into analytics processes and reporting. Develop and maintain scalable reporting systems that deliver actionable insights to technical sales and partner teams. Support the identification of revenue opportunities and provide guidance that influences Okta’s strategic direction. Requirements Experience in analytics, business intelligence, or a related field, ideally supporting sales or go-to-market teams. Ability to build strong partnerships with technical and business stakeholders. Proven track record of creating scalable reporting systems and frameworks. Interest in or experience with integrating AI capabilities into analytics workflows. This position offers the chance to work on impactful projects that shape Okta’s future, supporting both technical and partner-driven growth.

About the RoleAs a Senior Manager of Go-To-Market (GTM) & AI Analytics, you will play a pivotal role in understanding product usage in autonomous environments. Your expertise will drive insights on value delivery versus logged sessions and identify key indicators of expansion when user interaction is minimal.You will leverage AI as both a subject of analysis and a tool for analysis, enabling faster, deeper insights into how our AI products create value for customers.Your analytical prowess will make you the go-to person for understanding the movements of key metrics and formulating actionable strategies. Whether diagnosing pipeline slowdowns or addressing stalls in expansion, you will be equipped to build propensity models and identify opportunities for growth.This position transcends traditional analytics roles, as you will contribute to measuring engagement with innovative AI products that redefine customer interaction. You will create new frameworks to assess the business impact of products that think and act independently, ensuring we stay ahead in a rapidly evolving market.You will report directly to the VP of Revenue Strategy & Operations, owning the entire scope of GTM analytics, including pipeline health, forecasting, win/loss analysis, and customer interaction metrics. Your collaboration with the Director of GTM Operations and the Director of GTM Systems & Automation will be essential in driving data-driven actions.As pricing models evolve towards usage-based and outcome-oriented structures, you will pioneer consumption analytics that correlate product telemetry with revenue, activation, retention, and expansion insights. Your ability to quantify ROI on strategic initiatives will be crucial for data-driven decision-making.

Join Mixpanel as a Senior Analytics Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with various teams to design and implement robust analytics solutions that drive data-driven decision-making across the organization.

About FaireFaire is a revolutionary online wholesale marketplace that champions local commerce, believing in the strength of independent retailers. These retailers are generating more revenue globally than giants like Walmart and Amazon, yet they remain small compared to these corporate titans. At Faire, we harness technology, data, and machine learning to bridge the gap between these vibrant entrepreneurs and the best products from around the world. Our mission is to empower local businesses with the right tools and insights, leveling the playing field against big box and e-commerce competitors.By nurturing the growth of independent businesses, Faire is creating a positive economic impact in communities worldwide. We are on the lookout for innovative, resourceful, and passionate individuals to join us in our quest to revolutionize local shopping. If you share our belief in the power of community, we invite you to be a part of ours.About the RoleAre you enthusiastic about leveraging data and AI to redefine product features for small and medium businesses (SMBs)? If this resonates with you, we want to connect! We are seeking a technical leader to collaborate with Data Scientists, Product Analysts, and Software Engineers to enhance product launches and roadmaps. You will be instrumental in designing and developing data capabilities that drive insights and inform decision-making. This role will put you at the forefront of utilizing AI to enhance productivity and transform analytical engineering processes—streamlining data pipeline development, optimizing data consumption workflows, and automating routine analytical tasks. Your contributions will have a direct impact on company growth and user satisfaction. Join our team of top-tier professionals, work with one of the richest datasets available, and see your efforts translate into real-world applications for SMBs.Join us and contribute to a culture that values data-driven innovation and excellence.

Earnest builds borrowing solutions that help people take control of their financial futures. The Analytics Engineer II role supports this mission by improving how data is modeled, organized, and delivered across the company. Role overview This position reports to the Senior Manager of Data Platforms and Analytics Engineering. The Analytics Engineer II works closely with Product, Risk, and Analytics teams to ensure data is accessible, reliable, and structured for confident decision-making. What you will do Design and refine data models to support faster and more dependable decisions across multiple business teams. Remove data bottlenecks by providing clean, scalable datasets that analysts can use independently. Support both planned projects and urgent requests, helping business teams operate smoothly. Improve data quality and organization to enable effective analysis and the launch of new products or features. Requirements At least 3 years of experience in analytics engineering, data engineering, or a related field. Strong SQL skills and experience building data models that align with business needs. Familiarity with dbt and modern data warehouse solutions such as Snowflake or Redshift. Ability to collaborate across teams and translate complex data into actionable insights. Curious, proactive, and motivated to solve problems beyond assigned tasks. Preferred qualifications Experience with orchestration tools like Airflow or similar platforms. Background in fintech, product analytics, or high-growth companies. Location This is a remote role based in the United States. Earnest's headquarters are in San Francisco, CA.

Flex is a FinTech company based in New York City, focused on transforming the rent payment experience. Flex enables renters to pay rent on a schedule that fits their financial needs, aiming to give users more control over their largest recurring expense. After emerging from a successful stealth phase, Flex is expanding its team with the support of strong investors and an engaged user base. Role Overview The Director of Analytics Engineering leads a team at the intersection of Data, Product, Engineering, and business strategy. This role shapes the analytics platform that supports data-driven decisions across Flex. The director manages and mentors analytics engineers and remains hands-on with data modeling and solution development. Collaboration with analysts, engineers, product managers, and other stakeholders is central to defining requirements and delivering data products that meet business needs. What You Will Do Develop and drive the strategic roadmap for Flex’s data modeling platform and team. Lead, mentor, and grow a team of analytics engineers. Partner with product and engineering leaders to define data requirements and guide architecture and schema design. Oversee the creation of data models that transform and present data for stakeholders. Gather business requirements, define analytics success criteria, and design data solutions. Set company-wide standards for data structure, quality, and expectations. Promote a strong data culture by shaping scalable processes, systems, and tools that support better decision-making. What You Bring At least 8 years of experience as an analytics engineer or in a similar data-focused role, with a history of delivering products at scale. Expertise in SQL and data warehouses (Snowflake preferred), with skill in writing efficient SQL queries. Experience with leading business intelligence tools such as Sigma Computing, Tableau, or Mode. Locations This position is based in New York, NY; Salt Lake City, UT; or San Francisco, CA.